




import re
import tempfile
from pathlib import Path

import pytest
import yaml

from datasets.utils.readme import ReadMe


# @pytest.fixture
# def example_yaml_structure():

SCREAMING_SNAKE_CASE__			: Tuple    =  yaml.safe_load(
    '\\nname: \"\"\nallow_empty: false\nallow_empty_text: true\nsubsections:\n  - name: \"Dataset Card for X\" # First-level markdown heading\n    allow_empty: false\n    allow_empty_text: true\n    subsections:\n      - name: \"Table of Contents\"\n        allow_empty: false\n        allow_empty_text: false\n        subsections: null\n      - name: \"Dataset Description\"\n        allow_empty: false\n        allow_empty_text: false\n        subsections:\n          - name: \"Dataset Summary\"\n            allow_empty: false\n            allow_empty_text: false\n            subsections: null\n          - name: \"Supported Tasks and Leaderboards\"\n            allow_empty: true\n            allow_empty_text: true\n            subsections: null\n          - name: Languages\n            allow_empty: false\n            allow_empty_text: true\n            subsections: null\n'
)


SCREAMING_SNAKE_CASE__			: List[Any]    =  {
    'name': 'root',
    'text': '',
    'is_empty_text': True,
    'subsections': [
        {
            'name': 'Dataset Card for My Dataset',
            'text': '',
            'is_empty_text': True,
            'subsections': [
                {'name': 'Table of Contents', 'text': 'Some text here.', 'is_empty_text': False, 'subsections': []},
                {
                    'name': 'Dataset Description',
                    'text': 'Some text here.',
                    'is_empty_text': False,
                    'subsections': [
                        {
                            'name': 'Dataset Summary',
                            'text': 'Some text here.',
                            'is_empty_text': False,
                            'subsections': [],
                        },
                        {
                            'name': 'Supported Tasks and Leaderboards',
                            'text': '',
                            'is_empty_text': True,
                            'subsections': [],
                        },
                        {'name': 'Languages', 'text': 'Language Text', 'is_empty_text': False, 'subsections': []},
                    ],
                },
            ],
        }
    ],
}


SCREAMING_SNAKE_CASE__			: Tuple    =  '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'


SCREAMING_SNAKE_CASE__			: Dict    =  '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n#### Extra Ignored Subsection\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

SCREAMING_SNAKE_CASE__			: Optional[Any]    =  {
    'name': 'root',
    'text': '',
    'is_empty_text': True,
    'subsections': [
        {
            'name': 'Dataset Card for My Dataset',
            'text': '',
            'is_empty_text': True,
            'subsections': [
                {'name': 'Table of Contents', 'text': 'Some text here.', 'is_empty_text': False, 'subsections': []},
                {
                    'name': 'Dataset Description',
                    'text': 'Some text here.',
                    'is_empty_text': False,
                    'subsections': [
                        {
                            'name': 'Dataset Summary',
                            'text': 'Some text here.',
                            'is_empty_text': False,
                            'subsections': [
                                {
                                    'name': 'Extra Ignored Subsection',
                                    'text': '',
                                    'is_empty_text': True,
                                    'subsections': [],
                                }
                            ],
                        },
                        {
                            'name': 'Supported Tasks and Leaderboards',
                            'text': '',
                            'is_empty_text': True,
                            'subsections': [],
                        },
                        {'name': 'Languages', 'text': 'Language Text', 'is_empty_text': False, 'subsections': []},
                    ],
                },
            ],
        }
    ],
}

SCREAMING_SNAKE_CASE__			: Optional[Any]    =  '\\n---\n---\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

SCREAMING_SNAKE_CASE__			: Optional[int]    =  (
    'The following issues were found for the README at `{path}`:\n-\tEmpty YAML markers are present in the README.'
)

SCREAMING_SNAKE_CASE__			: Tuple    =  '\\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

SCREAMING_SNAKE_CASE__			: int    =  (
    'The following issues were found for the README at `{path}`:\n-\tNo YAML markers are present in the README.'
)

SCREAMING_SNAKE_CASE__			: str    =  '\\n---\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

SCREAMING_SNAKE_CASE__			: Optional[int]    =  'The following issues were found for the README at `{path}`:\n-\tOnly the start of YAML tags present in the README.'

SCREAMING_SNAKE_CASE__			: Dict    =  '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'
SCREAMING_SNAKE_CASE__			: Dict    =  'The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Summary` but it is empty.\n-\tExpected some text in section `Dataset Summary` but it is empty (text in subsections are ignored).'


SCREAMING_SNAKE_CASE__			: List[Any]    =  '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n'
SCREAMING_SNAKE_CASE__			: int    =  'The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Card for My Dataset` but it is empty.\n-\tSection `Dataset Card for My Dataset` expected the following subsections: `Table of Contents`, `Dataset Description`. Found \'None\'.'

SCREAMING_SNAKE_CASE__			: Any    =  '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Languages\nLanguage Text\n'

SCREAMING_SNAKE_CASE__			: Union[str, Any]    =  'The following issues were found for the README at `{path}`:\n-\tSection `Dataset Description` is missing subsection: `Supported Tasks and Leaderboards`.'


SCREAMING_SNAKE_CASE__			: Optional[int]    =  '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\n'

SCREAMING_SNAKE_CASE__			: Any    =  'The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Languages` but it is empty.'

SCREAMING_SNAKE_CASE__			: List[Any]    =  '\\n---\nlanguage:\n- zh\n- en\n---\n\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'
SCREAMING_SNAKE_CASE__			: Tuple    =  'The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README.'

SCREAMING_SNAKE_CASE__			: Optional[Any]    =  '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n# Dataset Card My Dataset\n'

SCREAMING_SNAKE_CASE__			: Optional[int]    =  'The following issues were found for the README at `{path}`:\n-\tThe README has several first-level headings: `Dataset Card for My Dataset`, `Dataset Card My Dataset`. Only one heading is expected. Skipping further validation for this README.'

SCREAMING_SNAKE_CASE__			: Optional[Any]    =  '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

SCREAMING_SNAKE_CASE__			: Optional[int]    =  'The following issues were found for the README at `{path}`:\n-\tNo first-level heading starting with `Dataset Card for` found in README. Skipping further validation for this README.'

SCREAMING_SNAKE_CASE__			: List[str]    =  ''

SCREAMING_SNAKE_CASE__			: Optional[int]    =  'The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README.\n-\tNo YAML markers are present in the README.'

SCREAMING_SNAKE_CASE__			: Optional[int]    =  '\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n'

SCREAMING_SNAKE_CASE__			: Any    =  'The following issues were found while parsing the README at `{path}`:\n-\tMultiple sections with the same heading `Dataset Card for My Dataset` have been found. Please keep only one of these sections.'

@pytest.mark.parametrize(
    "readme_md, expected_dict"					,[
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]					,)
def 	A ( _SCREAMING_SNAKE_CASE					,_SCREAMING_SNAKE_CASE       )      ->					Tuple:
       assert ReadMe.from_string(UpperCamelCase_					,UpperCamelCase_       ).to_dict() == expected_dict

@pytest.mark.parametrize(
    "readme_md, expected_error"					,[
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ]					,)
def 	A ( _SCREAMING_SNAKE_CASE					,_SCREAMING_SNAKE_CASE       )      ->					List[Any]:
       with pytest.raises(UpperCamelCase_					,match=re.escape(expected_error.format(path="root"       )       )       ):
              lowerCamelCase  : Tuple     					=   ReadMe.from_string(UpperCamelCase_					,UpperCamelCase_       )
              readme.validate()

@pytest.mark.parametrize(
    "readme_md, expected_error"					,[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]					,)
def 	A ( _SCREAMING_SNAKE_CASE					,_SCREAMING_SNAKE_CASE       )      ->					Dict:
       with pytest.raises(UpperCamelCase_					,match=re.escape(expected_error.format(path="root"       )       )       ):
              ReadMe.from_string(UpperCamelCase_					,UpperCamelCase_       )

@pytest.mark.parametrize(
    "readme_md,"					,[
        (README_MULTIPLE_SAME_HEADING_1),
    ]					,)
def 	A ( _SCREAMING_SNAKE_CASE       )      ->					Optional[int]:
       ReadMe.from_string(UpperCamelCase_					,UpperCamelCase_					,suppress_parsing_errors=UpperCamelCase_       )

@pytest.mark.parametrize(
    "readme_md, expected_dict"					,[
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]					,)
def 	A ( _SCREAMING_SNAKE_CASE					,_SCREAMING_SNAKE_CASE       )      ->					Tuple:
       with tempfile.TemporaryDirectory() as tmp_dir:
              lowerCamelCase  : Tuple     					=   Path(UpperCamelCase_       ) / "README.md"
              with open(UpperCamelCase_					,"w+"       ) as readme_file:
                     readme_file.write(UpperCamelCase_       )
              lowerCamelCase  : Optional[Any]     					=   ReadMe.from_readme(UpperCamelCase_					,UpperCamelCase_       ).to_dict()
              assert out["name"] == path
              assert out["text"] == ""
              assert out["is_empty_text"]
              assert out["subsections"] == expected_dict["subsections"]

@pytest.mark.parametrize(
    "readme_md, expected_error"					,[
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ]					,)
def 	A ( _SCREAMING_SNAKE_CASE					,_SCREAMING_SNAKE_CASE       )      ->					Union[str, Any]:
       with tempfile.TemporaryDirectory() as tmp_dir:
              lowerCamelCase  : List[Any]     					=   Path(UpperCamelCase_       ) / "README.md"
              with open(UpperCamelCase_					,"w+"       ) as readme_file:
                     readme_file.write(UpperCamelCase_       )
              lowerCamelCase  : List[str]     					=   expected_error.format(path=UpperCamelCase_       )
              with pytest.raises(UpperCamelCase_					,match=re.escape(UpperCamelCase_       )       ):
                     lowerCamelCase  : Tuple     					=   ReadMe.from_readme(UpperCamelCase_					,UpperCamelCase_       )
                     readme.validate()

@pytest.mark.parametrize(
    "readme_md, expected_error"					,[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]					,)
def 	A ( _SCREAMING_SNAKE_CASE					,_SCREAMING_SNAKE_CASE       )      ->					Optional[int]:
       with tempfile.TemporaryDirectory() as tmp_dir:
              lowerCamelCase  : int     					=   Path(UpperCamelCase_       ) / "README.md"
              with open(UpperCamelCase_					,"w+"       ) as readme_file:
                     readme_file.write(UpperCamelCase_       )
              lowerCamelCase  : List[str]     					=   expected_error.format(path=UpperCamelCase_       )
              with pytest.raises(UpperCamelCase_					,match=re.escape(UpperCamelCase_       )       ):
                     ReadMe.from_readme(UpperCamelCase_					,UpperCamelCase_       )


@pytest.mark.parametrize(
    "readme_md,"					,[
        (README_MULTIPLE_SAME_HEADING_1),
    ]					,)
def 	A ( _SCREAMING_SNAKE_CASE       )      ->					Union[str, Any]:
       with tempfile.TemporaryDirectory() as tmp_dir:
              lowerCamelCase  : Dict     					=   Path(UpperCamelCase_       ) / "README.md"
              with open(UpperCamelCase_					,"w+"       ) as readme_file:
                     readme_file.write(UpperCamelCase_       )
              ReadMe.from_readme(UpperCamelCase_					,UpperCamelCase_					,suppress_parsing_errors=UpperCamelCase_       )







import argparse

import torch

from transformers import MobileBertConfig, MobileBertForPreTraining, load_tf_weights_in_mobilebert
from transformers.utils import logging


logging.set_verbosity_info()





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_							,					UpperCamelCase_       )		->	Any:







 '''simple docstring'''
 # Initialise PyTorch model
 UpperCamelCase			  =      MobileBertConfig.from_json_file(UpperCamelCase_       )
 print(f"""Building PyTorch model from configuration: {config}"""       )
 UpperCamelCase			  =      MobileBertForPreTraining(UpperCamelCase_       )
 # Load weights from tf checkpoint
 UpperCamelCase			  =      load_tf_weights_in_mobilebert(UpperCamelCase_							,					UpperCamelCase_							,					UpperCamelCase_       )
 # Save pytorch-model
 print(f"""Save PyTorch model to {pytorch_dump_path}"""       )
 torch.save(model.state_dict()							,					UpperCamelCase_       )


if __name__ == "__main__":
     _SCREAMING_SNAKE_CASE 		=      argparse.ArgumentParser()
     # Required parameters
     parser.add_argument(
         """--tf_checkpoint_path""", default=None, type=str, required=True, help="""Path to the TensorFlow checkpoint path."""
     )
     parser.add_argument(
         """--mobilebert_config_file""",
         default=None,
         type=str,
         required=True,
         help=(
             """The config json file corresponding to the pre-trained MobileBERT model. \n"""
             """This specifies the model architecture."""
         ),
     )
     parser.add_argument(
         """--pytorch_dump_path""", default=None, type=str, required=True, help="""Path to the output PyTorch model."""
     )
     _SCREAMING_SNAKE_CASE 		=      parser.parse_args()
     convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.mobilebert_config_file, args.pytorch_dump_path)
